Selection of R14-tyres using Analytic Hierarchical Process on the Basis of Uniformity and Strength

Amrita Singh, Sharad Agrawal, Dinesh Kumar Kasdekar, Chandra Shekhar Malvi

Abstract


Tyres play a commanding role in an automobile industry. Balancing and safety of the vehicle are the primary issues for automobile industry. These two parameters are highly dependent on the uniformity and strength of the tyres. There are various criteria that affect tyres uniformity and strength. Consequently, selection of tyres is a Multi-criteria Decision Making (MCDM) problem. In that respect are many methods available for selection of tyres; however, this paper targets to explore the applicability of AHP (Analytic Hierarchical Process) to solve R14-tyre selection problem. AHP is a method that assists in choosing best alternatives by pair-wise comparison of each alternative and their criteria expressed as a matrix. In this work, synthesized priority of the R14-tyres and organize priorities of the R14-tyres with respect to each criteria in matrix is presented. After that, each column of the alternatives is multiplied as per the priority of the corresponding criteria and finally the ranks are evaluated by adding each row. The pair-wise comparisons are made with the standard scale, on the basis of given criteria, which conclude how much one alternative is more important than other. Uniformity and strength parameters have been discussed and it concludes with the selection of R14-tyres on the basis of this methodology.


Keywords


Tyres play a commanding role in an automobile industry. Balancing and safety of the vehicle are the primary issues for automobile industry. These two parameters are highly dependent on the uniformity and strength of the tyres. There are various criteria t

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References


Deng Y., Chan Felix T.S., Wu Y., et al. A New Linguistic MCDM Method based on Multiple- Criteria Data Fusion. Expert Syst. Appl. 2011; 38(6): 6985–6993p.

Saaty T.L. Highlights and Critical Points in the Theory and Application of the Analytic Hierarchy Process, Eur. J. Oper. Res. 1994; (74): 426–447p.

Mehrjierdi Y.Z. Strategic System Selection with Linguistic Preferences and Grey Information using MCDM, Appl. Soft Comput. 2014; 18: 323–337p.

Anojkumar L. Ilangkumaran M., Sasirekha V. Comparative Analysis of MCDM Method for Pipe Material Selection in Sugar Industry. Expert Syst. Appl. 2014; 41(6): 2824–2831p.

Fienrek S., Zak J. Planning of an Integrated Urban Transportation System based on Macro-Simulation and MCDM/A Method. Procedia- Soc. Behav. Sci. 2012; 54(4): 547–579p.

Saaty T.L. Highlights and Critical Points in the Theory and Application of the Analytic Hierarchy Process, Eur. J. Oper. Res.1994; 74: 426–447p.

Saaty T.L. Axiomatic Foundation of the Analytic Hierarchy Process. Manage. Sci.1983; 32(7): 841–855p.

Saaty T.L. How to Make a Decision: The Analytic Hierarchy Process. Eur. J. Oper. Res.1990; 48: 9–26p.

Saaty T.L. Priority Setting in Complex Problems. IEEE T. Engg. Manag, EM, 1983; 30(3): 140–155p.

Saaty T.L. The Analytic Hierarchy Process. McGraw Hill, New York; 1980.

Saaty T.L. Fundamentals of Decision Making and Priority Theory with AHP. RWS Publications, Pittsburg; 2000.

Pedyez W., Song M. A Granulation of Linguistic Information in AHP Decision-making Problems. Inform. Fusion. 2014; 17: 93–101p.

Bruno G., Esposito E., Genovese A., et al. AHP- based Approaches for Supplier Evolution, Problem and Perspectives. J. Purchas. Suppl. Manag. 2012; 18(3): 159–172p.

Goh H.H., Kok B.C., Yeo H.T., et al. Combination of TOPSIS and AHP in Load Shedding Scheme for Large Pulp Mill Electrical System. Int. J. Elec. Power. 2013; 47: 198–204p.

Ishizaka A., Nguyen N.H.Calibrated Fuzzy AHP for Current Bank Account Selection. Expert Syst. Appl.2013; 40(9): 3776–3783p.

Amiri M.P. Project Selection for Oil-field Developed by using the AHP and Fuzzy TOPSIS Method. Expert Syst. Appl. 2010; 37(9): 6218–6224p.




DOI: https://doi.org/10.37591/joaea.v1i3.4548

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